LoginLlama

Ask questions about your login security data: risk scores, blocked logins, Tor, VPN and bot traffic.

사용해야 할까요

품질 및 안전성

A
설명 품질
100%
스키마 완전성
80%
이름 품질
100%
오염 위험
100%
권한 일치
100%
프로토콜 준수
100%

도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.

컨텍스트 비용

~930토큰 (도구 정의)
~1.7 KB일반적인 응답 크기
중간 정도의 주의 영향 (128k 컨텍스트의 0.73%)

이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.

설치

원클릭 설치

`claude_desktop_config.json` 파일에 다음을 추가하세요:

{
  "mcpServers": {
    "loginllama": {
      "url": "https://loginllama.app/api/v1/mcp"
    }
  }
}

원격 엔드포인트

https://loginllama.app/api/v1/mcpstreamable-http

할 수 있는 일

도구 목록

도구 (5)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢get_login_stats(days, browser, os, country, device, ...)

Overall login security summary for your team: total checks, average risk score, high-risk count, blocked/failed logins, and bot/Tor/VPN counts. Supports filtering by browser, OS, country, device, user and time window.

입력 스키마

{
  "type": "object",
  "properties": {
    "days": {
      "type": "number",
      "description": "Look back this many days (default 30). Omit for all time."
    },
    "browser": {
      "type": "string",
      "description": "Filter by browser, case-insensitive partial match e.g. \"chrome\"."
    },
    "os": {
      "type": "string",
      "description": "Filter by operating system e.g. \"windows\"."
    },
    "country": {
      "type": "string",
      "description": "Filter by country e.g. \"United States\"."
    },
    "device": {
      "type": "string",
      "description": "Filter by device e.g. \"iphone\"."
    },
    "identity_key": {
      "type": "string",
      "description": "Filter to a single user identifier (email, user id, etc)."
    }
  }
}
🟢get_average_risk_score(days, browser, os, country, device, ...)

Average login risk score (0-10) across matching logins. Use the filters to answer questions like "what is my average login risk score for the chrome browser".

입력 스키마

{
  "type": "object",
  "properties": {
    "days": {
      "type": "number",
      "description": "Look back this many days (default 30). Omit for all time."
    },
    "browser": {
      "type": "string",
      "description": "Filter by browser, case-insensitive partial match e.g. \"chrome\"."
    },
    "os": {
      "type": "string",
      "description": "Filter by operating system e.g. \"windows\"."
    },
    "country": {
      "type": "string",
      "description": "Filter by country e.g. \"United States\"."
    },
    "device": {
      "type": "string",
      "description": "Filter by device e.g. \"iphone\"."
    },
    "identity_key": {
      "type": "string",
      "description": "Filter to a single user identifier (email, user id, etc)."
    }
  }
}
🟢get_login_breakdown(dimension, top_n, days, browser, os, ...)

Group logins by a dimension (browser, os, device, country, or status) and return counts, average risk score and high-risk counts per group. Good for "which browser has the highest risk".

입력 스키마

{
  "type": "object",
  "properties": {
    "dimension": {
      "type": "string",
      "enum": [
        "browser",
        "os",
        "device",
        "country",
        "status"
      ],
      "description": "The attribute to group by."
    },
    "top_n": {
      "type": "number",
      "description": "Max groups to return (default 20)."
    },
    "days": {
      "type": "number",
      "description": "Look back this many days (default 30). Omit for all time."
    },
    "browser": {
      "type": "string",
      "description": "Filter by browser, case-insensitive partial match e.g. \"chrome\"."
    },
    "os": {
      "type": "string",
      "description": "Filter by operating system e.g. \"windows\"."
    },
    "country": {
      "type": "string",
      "description": "Filter by country e.g. \"United States\"."
    },
    "device": {
      "type": "string",
      "description": "Filter by device e.g. \"iphone\"."
    },
    "identity_key": {
      "type": "string",
      "description": "Filter to a single user identifier (email, user id, etc)."
    }
  },
  "required": [
    "dimension"
  ]
}
🟢get_recent_logins(limit, status, days, browser, os, ...)

List the most recent login checks (newest first) with risk score, status, location and device. Supports the same filters.

입력 스키마

{
  "type": "object",
  "properties": {
    "limit": {
      "type": "number",
      "description": "How many to return (default 25, max 100)."
    },
    "status": {
      "type": "string",
      "description": "Filter by status, e.g. \"valid\" or \"invalid\"."
    },
    "days": {
      "type": "number",
      "description": "Look back this many days (default 30). Omit for all time."
    },
    "browser": {
      "type": "string",
      "description": "Filter by browser, case-insensitive partial match e.g. \"chrome\"."
    },
    "os": {
      "type": "string",
      "description": "Filter by operating system e.g. \"windows\"."
    },
    "country": {
      "type": "string",
      "description": "Filter by country e.g. \"United States\"."
    },
    "device": {
      "type": "string",
      "description": "Filter by device e.g. \"iphone\"."
    },
    "identity_key": {
      "type": "string",
      "description": "Filter to a single user identifier (email, user id, etc)."
    }
  }
}
🟢get_account_usage

Your LoginLlama account usage: remaining API credits for production and staging, and plan name.

입력 스키마

{
  "type": "object",
  "properties": {}
}

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